Sioux Center, IA
Sioux Center, IA's wildfire risk, in USFS's own numbers
USFS scores Sioux Center at the 24th national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 2,870 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Sioux Center at the 23rd percentile, close to its 24th-percentile risk score.
What "at risk" means for the buildings here
Sioux Center rates 75.8% Minimal exposure against just 24.2% Direct and 0% Indirect — of 2,870 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.
How Sioux Center compares
Sioux Center's risk sits at a similar level relative to Iowa (37th percentile statewide) as it does nationally (24th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Sioux Center ranks 24,012 for wildfire risk (1 is highest) and 5,627 by building count (1 is largest). Within Iowa alone, it ranks 642 of 1,017 places by risk. See the full county-by-county picture for Iowa on its state page.
Shopping for coverage in Sioux Center
Sioux Center's moderate wildfire rating (24th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
What would actually reduce this score
Sioux Center's 75.8% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.
Where Sioux Center's figures come from
Every one of the two percentiles behind Sioux Center's 24,012-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Sioux Center's dominant minimal exposure actually means, with real examples from across the dataset.